自主实验室中资源最优利用的两步方法

Computer Science > Artificial Intelligence

arXiv:2607.01188v1 (cs) [Submitted on 1 Jul 2026]

Title:Optimal Resource Utilization for Autonomous Laboratory Orchestrators

Authors:Austin McDannald, Julia Tisaranni, Howie Joress View a PDF of the paper titled Optimal Resource Utilization for Autonomous Laboratory Orchestrators, by Austin McDannald and 2 other authors View PDF

Abstract:In autonomous laboratories, AI agents suggest the next batch of experiments to do. However, planning and executing those tasks taking full advantage of the available resources is a completely different question. This can be challenging when dealing with real-world hardware constraints, especially so when there are multiple instruments with different capacities and throughputs. Here we demonstrate a 2-step method to address resource utilization for our autonomous platform for metal-organic framework synthesis. First, we use constraint programming to find optimal schedules. This finds schedules that minimizes the total time while still satisfying the limitations and capacities of the hardware. Secondly, we use a system of status dependencies for each task, which allows for the robust execution of the optimal schedules.

Subjects:	Artificial Intelligence (cs.AI); Materials Science (cond-mat.mtrl-sci)
Cite as:	arXiv:2607.01188 [cs.AI]
	(or arXiv:2607.01188v1 [cs.AI] for this version)
	https://doi.org/10.48550/arXiv.2607.01188 Focus to learn more arXiv-issued DOI via DataCite

Submission history

From: Austin McDannald Ph.D. [view email]
[v1] Wed, 1 Jul 2026 17:20:45 UTC (520 KB)
Full-text links:

Access Paper:

View a PDF of the paper titled Optimal Resource Utilization for Autonomous Laboratory Orchestrators, by Austin McDannald and 2 other authors
• View PDF
• TeX Source

view license

Current browse context:

cs.AI < prev   |   next >
new | recent | 2026-07 Change to browse by: cond-mat
cond-mat.mtrl-sci
cs

References & Citations

• NASA ADS
• Google Scholar
• Semantic Scholar

export BibTeX citation Loading...

BibTeX formatted citation

× Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos

Demos

Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers

Recommenders and Search Tools

Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?)

• Author
• Venue
• Institution
• Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)